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Shubham Kapoor
Shubham Kapoor
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Chronos: Learning the language of time series
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
arXiv preprint arXiv:2403.07815, 2024
1072024
PSA-GAN: Progressive self attention GANs for synthetic time series
P Jeha, M Bohlke-Schneider, P Mercado, S Kapoor, RS Nirwan, ...
The Tenth International Conference on Learning Representations, 2022
432022
PPS—Placement prediction system using logistic regression
AS Sharma, S Prince, S Kapoor, K Kumar
2014 IEEE International Conference on MOOC, Innovation and Technology in …, 2014
352014
Resilient neural forecasting systems
M Bohlke-Schneider, S Kapoor, T Januschowski
Proceedings of the Fourth International Workshop on Data Management for End …, 2020
142020
Coherent probabilistic forecasting of temporal hierarchies
SS Rangapuram, S Kapoor, RS Nirwan, P Mercado, T Januschowski, ...
International Conference on Artificial Intelligence and Statistics, 9362-9376, 2023
132023
Can pre-training help vqa with lexical variations?
S Jolly, S Kapoor
Findings of the Association for Computational Linguistics: EMNLP 2020, 2863-2868, 2020
72020
Chronos: Learning the language of time series, 2024
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
URL https://arxiv. org/abs/2403.07815, 2024
62024
Psa-gan: Progressive self attention gans for synthetic time series
J Paul, BS Michael, M Pedro, K Shubham, SN Rajbir, F Valentin, G Jan, ...
arXiv preprint arXiv:2108.00981, 2021
62021
Chronos: Learning the language of time series. arXiv 2024
AF Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, O Shchur, ...
arXiv preprint arXiv:2403.07815, 0
6
Adaptive sampling for probabilistic forecasting under distribution shift
L Masserano, SS Rangapuram, S Kapoor, RS Nirwan, Y Park, ...
arXiv preprint arXiv:2302.11870, 2023
42023
Bootstrapping NLU models with multi-task learning
S Kapoor, C Tirkaz
arXiv preprint arXiv:1911.06673, 2019
42019
Chronos: Learning the Language of Time Series
A Fatir Ansari, L Stella, C Turkmen, X Zhang, P Mercado, H Shen, ...
arXiv e-prints, arXiv: 2403.07815, 2024
2024
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